Qihao Zhu

Orcid: 0000-0001-8036-2623

According to our database1, Qihao Zhu authored at least 29 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reading Users' Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference.
CoRR, 2024

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
CoRR, 2024

DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence.
CoRR, 2024

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.
CoRR, 2024

Learning-based Widget Matching for Migrating GUI Test Cases.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
CupCleaner: A Data Cleaning Approach for Comment Updating.
CoRR, 2023

Toward Artificial Empathy for Human-Centered Design: A Framework.
CoRR, 2023

Merge Conflict Resolution: Classification or Generation?
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

A Probabilistic Delta Debugging Approach for Abstract Syntax Trees.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Tare: Type-Aware Neural Program Repair.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers.
CoRR, 2022

Generative Transformers for Design Concept Generation.
CoRR, 2022

Generative Pre-Trained Transformers for Biologically Inspired Design.
CoRR, 2022

Generative Design Ideation: A Natural Language Generation Approach.
CoRR, 2022

Learning to Construct Better Mutation Faults.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Grape: Grammar-Preserving Rule Embedding.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Lyra: A Benchmark for Turducken-Style Code Generation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Generalized Equivariance and Preferential Labeling for GNN Node Classification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Generative Pre-Trained Transformer for Design Concept Generation: An Exploration.
CoRR, 2021

Syntax Guided Neural Program Repair.
CoRR, 2021

Dynamic Labeling for Unlabeled Graph Neural Networks.
CoRR, 2021

A syntax-guided edit decoder for neural program repair.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Boosting coverage-based fault localization via graph-based representation learning.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020
OCoR: An Overlapping-Aware Code Retriever.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

NLocalSAT: Boosting Local Search with Solution Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

TreeGen: A Tree-Based Transformer Architecture for Code Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Grammar-Based Structural CNN Decoder for Code Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2015
MDP and Machine Learning-Based Cost-Optimization of Dynamic Resource Allocation for Network Function Virtualization.
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015


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